■[Methodology] Identification of active protein-protein interaction networks
■[Methodology] Phenotype-oriented analysis for estimation molecular functions
■[Methodology] Target narrow-down system by combination of modeling and simulation
■[Application] Marker identification of lung cancer by proteomics data
■[Application] Company drug discovery by utilizing cell reprogramming potential
■[Application] Identification of Tissue-dependent regulatory networks in diabetes rats
Statistical inference for association and causality, Algebraic computation
Papers List
■ Miyagi, Y., Higashiyama, M., Gochi, A., Akaike, M., Ishikawa, T. "Plasma Free Amino Acid Profiling of Five Types of Cancer Patients and Its Application for Early Detection." PLoS ONE 6(9): e24143. doi:10.1371/journal.pone.0024143, (2011).
■ Zhou, H., Saito, S., Piao, G., Liu, Z., Wang, J., Horimoto, K., Chen, L.: "Network screening of Goto-Kakizaki rat liver microarray data during diabetic progression", BMC Sys. Biol. 5(Suppl 1), S16(2011).
■ Saito, S., Onuma, Y., Ito, Y., Tateno, H., Toyoda, M., Akutsu, H., Nishino, K., Chikazawa, E., Fukawatase, Y., Miyagawa, Y., Okita, H., Kiyokawa, N., Shimma, Y., Umezawa, A., Hirabayashi, J., Horimoto, K., Asashima, M.: “Potential linkages between the inner and outer cellular states of human induced pluripotent stem cells.”, BMC Syst Biol.5 Suppl 1: S17(2011).
■ Nakatsui, M., Horimoto, K., Lemaire, F., Ürgüplü, A., Sedoglavic, A., Boulier, F.: "Brute force meets Bruno force in parameter optimisation: introduction of novel constraints for parameter accuracy improvement by symbolic computation", IET Sys. Biol., 5, pp.281-292(2011).
■ Tateno, H., Toyota, M., Saito, S., Onuma, Y., Ito, Y., Hiemori, K., Fukumura, M., Matsushima, M., Nakanishi, M., Ohnuma, K., Akutsu, H., Umezawa, A., Horimoto, K., Hirabayashi, J., Asashima, M.: "Glycome Diagnosis of Human Induced Pluripotent Stem Cells Using Lectin Microarray", J. Biol. Chem., 286, pp.20345-20353(2011).
■ Saito, S., Hirokawa, T. and Horimoto, K.: "Discovery of Chemical Compound Groups with Common Structures by a Network Analysis Approach.", J. Chem. Inf. Model., 51, pp.61-68(2011).